# 0. One-Click Run All Models

    library(E2E)

## Overview

E2E provides three powerful one-click functions that automatically run comprehensive modeling pipelines:

- `int_dia()`: Diagnostic modeling pipeline (52 model variants)
- `int_imbalance()`: Imbalanced data diagnostic pipeline (64 model variants)
- `int_pro()`: Prognostic modeling pipeline (24 model variants)

## 1. Diagnostic Pipeline

    # Run all diagnostic models
    results_dia <- int_dia(
      train_dia,
      test_dia,
      test_dia, #can be any other data
      tune = FALSE,
      n_estimators = 5,
      seed = 123
    )

    # Visualize results
    #plot_integrated_results(results_dia, metric_name = "AUROC")

## 2. Imbalanced Data Pipeline

    # Run all models including imbalance handling methods
    results_imb <- int_imbalance(
      train_dia,
      test_dia,
      test_dia, #can be any other data
      tune = FALSE,
      n_estimators = 5,
      seed = 123
    )

    # Visualize results
    #plot_integrated_results(results_imb, metric_name = "AUROC")

## 3. Prognostic Pipeline

    # Run all prognostic models
    results_pro <- int_pro(
      train_pro,
      test_pro,
      test_pro, #can be any other data
      tune = FALSE,
      n_estimators = 5,
      time_unit = "day",
      years_to_evaluate = c(1, 3, 5),
      seed = 123
    )

    # Visualize results (C-index)
    #plot_integrated_results(results_pro, metric_name = "C-index")

## Key Features

✅ Fully Automated: Run dozens of models with one line of code ✅ Multi-Dataset Evaluation: Evaluate on training and multiple test sets simultaneously ✅ Diverse Methods: Covers single models, Bagging, Stacking, and Voting ✅ Clear Visualization: Heatmaps display all results intuitively